Comprehensive Evaluation of the Development Level of Shanxi’s Real Estate Industry Based on Factor Analysis and Cluster Analysis

2014 ◽  
Vol 596 ◽  
pp. 136-140
Author(s):  
Xiao Ling Tang ◽  
Zhu Ling Tan

In this paper, on the basis of the effective data, build the evaluation index system of the real estate industry development level, using factor analysis and cluster analysis, analysis the real estate industry development level of 10 cities and 1 agricultural science and technology development zone in Shanxi province . According to factor score and cluster analysis, the level of real estate development in Shanxi Province is divided into four types, and ranking them, finally analysis the results of classification reasons.

2013 ◽  
Vol 869-870 ◽  
pp. 39-42
Author(s):  
Ling Ma ◽  
Wei Lun Wu ◽  
Dong Xue Zhang

From the view of sustainable development, the evaluation model of the real estate industry development was constructed based on literature research. 20 initial indexes were chosen as evaluation indexes of the of real estate industry development. The indicator data of 32 provinces in China was collected and processed. Through EFA and CFA of the model, the 3-dimension evaluation index system with 10 indexes was formed with good reliability and validity. Finally, the relevant management strategy was proposed. The evaluation index system has important application value to evaluate and monitor the sustainable development of the real estate industry.


2015 ◽  
Vol 23 (2) ◽  
pp. 27-39 ◽  
Author(s):  
Justyna Brzezicka ◽  
Radoslaw Wisniewski

Abstract The article pertains to the issue of subject translocality on the real estate market and indicates the scope of its practical application connected with determining the level of the economic development of voivodeships. The issue of real estate market subject translocality was analyzed on the basis of a review of literature connected with the locality of the real estate market in its subject plane, as well as by setting apart a category referring to the subject plane of the real estate market. The work is of an empirical nature. In this part, coefficients of real estate market subject translocality were used in order to assess the level of development of individual voivodeships. Cluster analysis was also used in order to establish the groups of voivodeships similar in terms of the level of real estate market subject translocality.


2013 ◽  
Vol 397-400 ◽  
pp. 2731-2734
Author(s):  
Xiao Chun Shi ◽  
Deng Ying Jiang

With the development of market economy, the real estate industry has become a driving force of the pillar industry of China's economic growth. The residential housing casing is used to construct the index system of real estate development. And on the combination of factor analysis and cluster analysis, this paper studies the real estate development status of China with the SPSS. By extracting three main factors that affect the development of residential housing industry, and with the factor score, the real estate development status of the 31 provinces and cities nationwide are classified and sorted. Last the causes and results of the classification are analyzed, and some targeted countermeasures are proposed.


2021 ◽  
Vol 129 ◽  
pp. 03027
Author(s):  
Philipp Schmidt ◽  
David Elferich

Research background: Since the announcement by entrepreneur Elon Musk in the year 2021 about the inclusion of Bitcoin on the balance sheet of his automotive company Tesla, the economic significance of cryptocurrencies for the financial industry is taking on progressive importance. In addition to the financial economic consideration of cryptocurrencies, the underlying blockchain technology is undergoing a disruptive growth across industries – e.g. from automotive to real estate. Accordingly, in the report ‘Deep Shift Technology Tipping Points and Societal Impact’, the World Economic Forum predicted a far-reaching significance of the blockchain technology as early as 2015, and in 2020, the Global Future Council published a finding that the crypto market has reached a point of inevitability. Purpose of the article: The aim of this paper is to examine the degree of integration of the blockchain technology within the framework of a current market investigation using the real estate industry as an example. The leading application areas of the blockchain technology in the real estate industry will be presented. Methods: The market investigation of this paper is based, among other things, on a cluster analysis that examines a regional differentiation of the application areas on a global level. Findings & Value added: In this context, the market research indicates that the blockchain technology can be applied significantly in the real estate industry and that the Global Future Council finding can be replicated in many areas.


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